{"url":"/dataset/trustllm-dataset","name":"TrustLLM dataset","full_name":null,"description_markdown":"includes train, test and validation set","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1cAHxSu6dL3S21zz2iaQzSTABfSjY2vP8","introduced_date":"2024-03-24","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["TrustLLM dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}